Client Report - Project 0: Introduction

Course DS 250

Author

Travis Wheeler

Show the code
import pandas as pd
import numpy as np
from lets_plot import *

LetsPlot.setup_html(isolated_frame=True)
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# Learn morea about Code Cells: https://quarto.org/docs/reference/cells/cells-jupyter.html

# Include and execute your code here
from palmerpenguins import load_penguins
df = load_penguins()

QUESTION|TASK 1

Include the tables created from PY4DS: CH2 Data Visualization used to create the above chart (Hint: copy the code from 2.2.1. The penguins data frame and paste each in the cells below)

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# Include and execute your code here
df
species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex year
0 Adelie Torgersen 39.1 18.7 181.0 3750.0 male 2007
1 Adelie Torgersen 39.5 17.4 186.0 3800.0 female 2007
2 Adelie Torgersen 40.3 18.0 195.0 3250.0 female 2007
3 Adelie Torgersen NaN NaN NaN NaN NaN 2007
4 Adelie Torgersen 36.7 19.3 193.0 3450.0 female 2007
... ... ... ... ... ... ... ... ...
339 Chinstrap Dream 55.8 19.8 207.0 4000.0 male 2009
340 Chinstrap Dream 43.5 18.1 202.0 3400.0 female 2009
341 Chinstrap Dream 49.6 18.2 193.0 3775.0 male 2009
342 Chinstrap Dream 50.8 19.0 210.0 4100.0 male 2009
343 Chinstrap Dream 50.2 18.7 198.0 3775.0 female 2009

344 rows × 8 columns

A complete table showing all 344 penguins

include figures in chunks and discuss your findings in the figure.

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# Include and execute your code here
df.head()
species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex year
0 Adelie Torgersen 39.1 18.7 181.0 3750.0 male 2007
1 Adelie Torgersen 39.5 17.4 186.0 3800.0 female 2007
2 Adelie Torgersen 40.3 18.0 195.0 3250.0 female 2007
3 Adelie Torgersen NaN NaN NaN NaN NaN 2007
4 Adelie Torgersen 36.7 19.3 193.0 3450.0 female 2007

5 samples of the initial dataset.

QUESTION|TASK 2

Recreate the example charts from PY4DS: CH2 Data Visualization of the textbook. (Hint: copy the chart code from 2.2.3. Creating a Plot, one for each cell below)

Show the code
# Include and execute your code here
(
    ggplot(data=df, mapping=aes(x="flipper_length_mm", y="body_mass_g")) + geom_point()
)

Scatterplot showing the relation between flipper length and body mass.

include figures in chunks and discuss your findings in the figure.

Show the code
# Include and execute your code here
(
    ggplot(
    data=df,
    mapping=aes(x="flipper_length_mm", y="body_mass_g", color="species"),
)
+ geom_point()
)

Separates the different species into different colors.

Show the code
# Include and execute your code here
(
    ggplot(
    data=df,
    mapping=aes(x="flipper_length_mm", y="body_mass_g", color="species"),
)
+ geom_point()
+ geom_smooth(method="lm")
)

Added a smooth curve to further display the relationship between body mass and flipper length.

Show the code
# Include and execute your code here
(
    ggplot(data=df, mapping=aes(x="flipper_length_mm", y="body_mass_g"))
    + geom_point(mapping=aes(color="species"))
    + geom_smooth(method="lm")
)

joined the separate lines into one

Show the code
# Include and execute your code here
(
    ggplot(data=df, mapping=aes(x="flipper_length_mm", y="body_mass_g"))
    + geom_point(aes(color="species", shape="species"))
    + geom_smooth(method="lm")
    + labs(
        title="Body mass and flipper length",
        subtitle="Dimensions for Adelie, Chinstrap, and Gentoo Penguins",
        x="Flipper length (mm)",
        y="Body mass (g)",
        color="Species",
        shape="Species",
    )
)

Added different shapes for the species and improved labeling.